Publications
Detailed Information
Cancer Biomarker Discovery Using N-terminal Peptides and Multiple Reaction Monitoring-MS Techniques : N-말단단백체 및 다중반응검지 질량분석기술을 이용한 암 표지자 개발 연구
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 김영수 | - |
dc.contributor.author | Hophil Min | - |
dc.date.accessioned | 2017-07-14T01:43:49Z | - |
dc.date.available | 2018-10-25 | - |
dc.date.issued | 2015-08 | - |
dc.identifier.other | 000000053409 | - |
dc.identifier.uri | https://hdl.handle.net/10371/122290 | - |
dc.description | 학위논문 (박사)-- 서울대학교 대학원 : 의과학과 의과학전공, 2015. 8. 김영수. | - |
dc.description.abstract | Introduction: Cancer is the leading cause of death in the worldwide, and the major cause of cancer death is the difficulty for early diagnosis. To overcome this problem, the discovery of cancer biomarkers is useful for early diagnosis, outcome monitoring, or predicting recurrence. For biomarker discovery, proteomics technique is powerful tools with high-throughput and high sensitivity. Thus, proteomics study can help variable cancer biomarker discovery and understand of cancer mechanisms in body.
Methods: In chapter I, to examine metastatic events in lung cancer, we performed a proteomics study by label-free quantitative analysis and N-terminal analysis in 2 human non-small-cell lung cancer cell lines with disparate metastatic potentials?NCI-H1703 (primary cell, stage I) and NCI-H1755 (metastatic cell, stage IV). In chapter II, we performed to identify new marker-candidate proteins from LiverAtlas database. And abundance of marker-candidate proteins were quantified in individual patients by multiple reaction monitoring assay. Results: In chapter I, we identified 2130 proteins, 1355 of which were common to both cell lines. In the label-free quantitative analysis, we used the NSAF normalization method, resulting in 242 differential expressed proteins. For the N-terminal proteome analysis, 325 N-terminal peptides, including 45 novel fragments, were identified in the 2 cell lines. Based on two proteomic analysis, 11 quantitatively expressed proteins and 8 N-terminal peptides were enriched for the focal adhesion pathway. Most proteins from the quantitative analysis were upregulated in metastatic cancer cells, whereas novel fragment of CRKL was detected only in primary cancer cells. In chapter II, we selected quantitative 104 marker candidate proteins with reference labeled peptides. Among them, we found that 17 proteins with AUC more than 0.60 were able to effectively discriminate poor responders from total patients underwent TACE. Also, we discovered powerful ensemble model panel with protein markers and clinical variables. Conclusions: In chapter I, our datasets of proteins and fragment peptides in lung cells might be valuable in discovering and validating lung cancer biomarkers and metastasis markers. This study increases our understanding of the NSCLC metastasis proteome. In chapter II, we discovered three new marker proteins that are associated with prognosis prediction after TACE in the first time. Our study can help to identify useful biomarkers for prediction of prognosis with multi-panel modeling. | - |
dc.description.tableofcontents | Abstract i
Contents iii List of Tables vi List of Figures vii List of Abbreviations x General Introduction 1 Chapter I 3 Label-Free Quantitative Proteomics and N-terminal Analysis of Human Metastatic Lung Cancer Cells Introduction 4 Material and Methods 7 Results 16 Discussion 41 Chapter II 48 Targeted proteomics predicts complete response transarterial chemoembolization in hepatocellular carcinoma Introduction 49 Material and Methods 52 Results 62 Discussion 92 References 96 Abstract in Korean 109 | - |
dc.format | application/pdf | - |
dc.format.extent | 5591174 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Cancer | - |
dc.subject | Biomarker | - |
dc.subject | MRM | - |
dc.subject | Mass spcetrometry | - |
dc.subject | N-terminal peptides | - |
dc.subject.ddc | 610 | - |
dc.title | Cancer Biomarker Discovery Using N-terminal Peptides and Multiple Reaction Monitoring-MS Techniques | - |
dc.title.alternative | N-말단단백체 및 다중반응검지 질량분석기술을 이용한 암 표지자 개발 연구 | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | 민호필 | - |
dc.description.degree | Doctor | - |
dc.citation.pages | xi, 111 | - |
dc.contributor.affiliation | 의과대학 의과학과 | - |
dc.date.awarded | 2015-08 | - |
- Appears in Collections:
- Files in This Item:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.